pysal/pysal: v24.01rc2

Overall, there were 908 commits that closed 217 issues, together with 37 pull requests since our last release on 2023-07-31.

<a name="changes-by-package"></a>

Changes by Package

<a name="libpysal"></a>

libpysal

• #629: remove xarray as hard dependency
• #585: CI against Python 3.12
• #627: pass kwargs to explore
• #617: ENH: explore method for graph
• #625: fix fileio regression
• #624: regression in libpysal.io.fileio.FileIO
• #622: lint & format – io/geotable/*
• #616: fix index check for precomputed graph distances
• #620: lint & format io/*.py
• #621: TST: ignore pandas dev blockmanager warnings
• #619: lint & format graph/tests/*.py
• #618: lint graph/_*.py
• #615: lint graph/base.py
• #614: format & lint – cg/tests/*.py
• #593: ENH: add vectorized plotting to Graph
• #612: proper shapely being pulled into DEV CI?
• #611: format & lint – cg/ops/tests*.py
• #613: Print spatial versions in CI
• #610: format, lint, numpydoc – cg/ops/*.py
• #608: ./cg/*.py – format, lint, & remove docstring spaces
• #607: lint ./examples/*
• #604: remove redundant .coveragerc
• #602: remove .coveragerc
• #605: failures due to removals of in libpysal.common
• #601: TST: convert unittests to pytest
• #595: Convert all testing from unittest to pytest.
• #600: remove test_NameSpace.py
• #596: get rid of test_NameSpace.py?
• #597: begin the repo linting
• #598: convert README to markdown
• #330: README.md?
• #592: MAINT: dealing with sqlalchemy & geomet
• #588: sqlalchemy and geomet
• #591: MAINT: avoid most of the warnings coming from dev CI
• #582: GeoPandas FutureWarning in fuzzy_contiguity
• #465: vectorize centroid in W.plot
• #464: W.plot method is generating long list of deprecation warnings
• #587: TST: fix alpha_shape failures on dev
• #586: avoid could_be_isomorphic on nx 3.2
• #584: manual trigger for CI
• #583: Delay example data dir creation, add fallback for unwriteable $HOME
• #565: remove conftest.py in graph tests
• #530: is geomet still a dependency?
• #581: README is rst, not md --> update pyproject.toml
• #580: Update release action, etc. to prep for v4.8.0
• #579: overhaul infrastructure
• #578: GHA: update release action
• #577: implement higher_order, components via sparse.matrix
• #576: TST: properly skip isomorphic test
• #575: implement set ops and to_networkx
• #574: triangulation tests + better ci setup
• #571: finalise kernel constructors in graph

<a name="access"></a>

access

<a name="esda"></a>

esda

• #272: Adjust imports to updates in libpysal
• #262: release
• #271: Access packages directly, not through libpysal.common
• #270: Revert 22 dependabot/GitHub actions/codecov/codecov action 4
• #269: update codecov version GHA
• #260: Moment of area correctness issues
• #267: Bump actions/checkout from 3 to 4
• #266: force bash across OS
• #265: GHA: update release actions
• #264: fix math formatting in second_areal_moment
• #261: fix second areal moment calculation, cascade changes down to other stats
• #263: TST: skip tests failing on sklearn regression
• #254: adbscan test failures
• #253: add first draft of correlogram
• #256: update to pyproject
• #258: CI: properly test min and dev
• #239: Geary failing in CI; possibly due to libpysal#510
• #257: Use more precise calculation of minimum bounding circle area

<a name="giddy"></a>

giddy

• #205: fix small errors in README
• #204: [pre-commit.ci] pre-commit autoupdate
• #200: swap out setup.py for pyproject.toml
• #203: Migrate to pyproject.toml
• #202: Lint repo with ruff
• #201: black format repo
• #179: add gha workflow for publishing docs
• #199: Implement GHA for building docs
• #195: notebook links are returning 404
• #191: update supported for Python version
• #197: update CI --> supported Python versions
• #196: address CI testing failures
• #193: How to use spatial_markov model by adopting my own data
• #194: how use my own data

<a name="inequality"></a>

inequality

• #22: RTD --> GHP
• #45: v1.0.1 release
• #62: Update infra and actions (2023-10)
• #55: update infra – pyproject.toml, setuptools_scm, ruff, etc.
• #61: [pre-commit.ci] pre-commit autoupdate
• #60: Update requirements.txt – no numpy>=1.3
• #59: [pre-commit.ci] pre-commit autoupdate
• #58: Update Versioneer

<a name="pointpats"></a>

pointpats

• #127: readme in pyproject
• #126: remove stale doc deps
• #121: Add symmetric st-neighbors in local knox
• #123: plot density on axis
• #124: CI: update actions
• #118: ENH: plot_density for KDE plotting of point patterns based on statsmodels
• #120: Revert "Edges"
• #111: Knox enhancements
• #119: Edges
• #117: migrate to pyproject
• #105: Fix support truncation and remove superfluous content
• #116: ENH: return axis when plotting QStatistic, default to equal aspect when plotting PointPattern
• #115: silence cg warnings
• #112: argument of type 'builtin_function_or_method' is not iterable

<a name="segregation"></a>

segregation

• #219: changelog
• #220: update release workflow
• #221: rm rvlib
• #74: create Compute_At like summmarizing segregation function

<a name="spaghetti"></a>

spaghetti

<a name="mgwr"></a>

mgwr

• #140: Fixed typo in covariate names
• #138: Joblib update to default -1
• #137: Parallelization: switch from multiprocessing to joblib
• #136: Switching from multiprocessing to joblib
• #135: Can't upload the Data File
• #130: allow custom variable names in summary
• #126: Miss Built Distribution in Pypi
• #127: About bandwidth selection of large samples
• #133: Information about the effect of the else independent variable on the dependent variable
• #131: permissions for the steering council
• #128: CI: make CI run

<a name="momepy"></a>

momepy

• #518: RLS: add a changelog for 0.7.0
• #517: MAINT: update required versions, adapt CI, lint for new target Python
• #516: GHA: update actions
• #515: DOC: try fixing rtd
• #513: RTD failing
• #514: momepy.get_network_id doesnt seem to work.
• #512: [pre-commit.ci] pre-commit autoupdate
• #510: ENH: add FaceArtifacts
• #509: TST: adapt tests to GEOS 3.12
• #508: TST: update for GEOS 3.12
• #507: ENH: support single-part multipolygons in Squareness and CentroidCorners

<a name="spglm"></a>

spglm

• #46: docs/conf.pyadjustments
• #45: Modernize infrastructure
• #44: add a codecov config file
• #43: Modernize infrastructure
• #42: migrate docs to GH Pages?
• #34: numpy.float deprecated
• #40: Lint with ruff
• #39: Format repo with black
• #36: initial SPGLM modernization
• #15: unittests in inline docstrings?
• #35: swap from master to main branch

<a name="spint"></a>

spint

<a name="spreg"></a>

spreg

• #129: adapt imports to update in libpysal.common
• #128: failures due to update in libpysal.common
• #103: Add Wilkinson formula interface and scikit-learn style estimators
• #115: add Python 3.11 tests
• #124: Update pyproject.toml – numpy version requirement
• #116: add panel diagnostics to API docs
• #121: modernize infrastructure
• #122: Bump actions/checkout from 2 to 4
• #123: Bump actions/cache from 2 to 3
• #118: Updates for spreg 1.4
• #120: Revert "Bump codecov/codecov-action from 3 to 4"
• #119: Bump codecov/codecov-action from 3 to 4
• #117: Bump actions/checkout from 3 to 4

<a name="spvcm"></a>

spvcm

<a name="tobler"></a>

tobler

• #188: BUG: fix misalignment of Series in pycno
• #189: astropy not always needed in pycno
• #186: keep index
• #183: move dask to function-level import
• #180: [WIP] Area-weighted interpolation in Dask
• #179: update release workflow

<a name="mapclassify"></a>

mapclassify

• #198: [pre-commit.ci] pre-commit autoupdate
• #197: remove numba cache from fisher jenks
• #196: remove 2 more superfluous files
• #195: lint code base with ruff
• #185: Fix linting failures
• #184: [pre-commit.ci] pre-commit autoupdate
• #193: infrastructure modernization, etc.
• #192: minimal requirements CI env
• #190: modernize infrastructure (2023/09)
• #194: remove usage of geopandas.datasets
• #191: testing with geopandas.dataset module – deprecation
• #189: Bump actions/checkout from 3 to 4
• #188: CI: test against nightlies
• #187: test against the nightly wheel – numpy
• #186: numpy 2.0 support
• #183: Update Versioneer

<a name="splot"></a>

splot

<a name="spopt"></a>

spopt

• #414: v0.6.0 release checklist
• #431: K-nearest p-median demo notebook
• #401: no demo for k-nearest p-median
• #410: client demand and facility capacity is transposed in LSCP.from_geodataframe()
• #430: fix Church 2018 (tobler paper) cite
• #426: Review messaging in KN-PMP
• #425: KN-PMP – review warnings & error messages
• #424: parameters & docstring clean up in KNearestPMedian
• #423: clean up KNearestPMedian parameters & docstring
• #420: Formulation of KN-PMP omitted opening constraints
• #429: flesh out kn-pmp testing
• #427: fill out testing for k-nearest p-median
• #419: no opening constraints in $k$-nearest $p$-median
• #422: locate models – standardized default names
• #421: standardize default model name attributes in locate
• #418: stricter linting – follow up #413
• #417: Prepend capacitated model name
• #416: Inconsistent "capacitated" model name label
• #413: Maint work for update supported Python versions, CI environments, et.c
• #412: update supported Python versions & CI environments
• #364: Consider using pulp.Binary rather than pulp.Integer as the type for cli_assgn_vars?
• #366: default to binary assignment for clients
• #411: solve b410
• #386: TestAZP.test_azp_basic_from_w CI failure
• #406: Fix CI failure due to AZP multiple valid MST
• #409: AZP Simulated Annealing
• #408: Update 311-DEV.yaml
• #407: add esda bleeding edge to DEV testing
• #405: Update GHA, etc (2023-10-15)
• #404: update GHA & CI
• #403: remove zip(strict=True) in k-nearest p-median
• #402: k-nearest pmedian failures due to zip(strict=True)
• #400: unexpected keyword argument 'facility_capacities' in the p-median notebook
• #399: Add KNearestPMP to API and documentation
• #381: Add a capacity p-median example
• #387: Add the capacity p-median example to the notebook
• #397: Add the k nearest p-median module and the tutorial example for capacitated p-median
• #398: [pre-commit.ci] pre-commit autoupdate
• #396: PULP_CBC_CMD not working with P-Median/P-Center

<a name="contributors"></a>

Contributors

Many thanks to all of the following individuals who contributed to this release:

• Dani Arribas-Bel
• Eli Knaap
• Florian De Temmerman
• Gareth Simons
• Germano Barcelos
• James Gaboardi
• Jgaboardi
• Levi John Wolf
• Martin Fleischmann
• Pedro Amaral
• Robin Lenz
• Rongboxu
• Serge Rey
• Taylor Oshan
• Tmnj
• Wei Kang
• Ziqi Li